节点文献

动态3维场景中多角色动画的交互式模拟研究

Interactive simulator research of multi-character animation in dynamic three dimensional scene

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 袁铨张建中姜衔周珊珊曹跃

【Author】 Yuan Quan1),Zhang Jianzhong2),Jiang Xian2),Zhou Shanshan2),Cao Yue2)1)(School of Software,University of Electronic Science and Technology of China,Chengdu 611731 China)2)(School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731 China)

【机构】 电子科技大学软件学院电子科技大学计算机科学与工程学院

【摘要】 当前角色动画的合成大多是在预设的场景中,采用导入与角色骨骼模型匹配的运动捕获数据的方法,这就满足不了多种拓扑结构的骨骼模型和实时变化场景的需要。针对上述问题,提出重定向运动捕获数据到多个任意骨骼拓扑结构的算法,通过采用以实时3维动态寻径算法为基础的角色智能寻径模型,结合语音用户接口代替图形用户接口的方法,实现虚拟角色在动态3维场景中的真实感运动。实验结果表明,本方法可以合成流畅而逼真的,与环境实时交互的角色动画,提高了数据重用性,降低了动画合成成本,满足不同动态3维场景中动画合成的需要。

【Abstract】 Import motion capture data which have the matching skeleton with character is often used in preset scene in character animation synthesis now.However,this method could not afford the demand of multiple topological skeleton structures and the changing scene in real time.In view of the above questions,this paper proposes a new algorithm of retargeting motion capture data to skeleton model with multiple arbitrary topologies and adopts intelligent character model based on the real time three dimensional path-planning algorithm,integrating with the method of using voice user interface instead of graphical user interface to implement verity movement of virtue character in a dynamical three dimensional scene.The result demonstrates that slick and interactive animations can be synthesized by the proposed method.The method downs the cost of animation synthesis by improving the reuse rate of motion data and can be used widely in human-computer interaction domain by satisfying the need of synthesis of character animation in varied three dimensional virtual scenes.

【基金】 国家高技术研究发展计划(863)项目(2007AA010407);中央高校基本科研业务费专项资金项目(ZYGX2009J065);四川省重点实验室开发基金项目(2008KJ01)
  • 【文献出处】 中国图象图形学报 ,Journal of Image and Graphics , 编辑部邮箱 ,2011年06期
  • 【分类号】TP391.41
  • 【被引频次】10
  • 【下载频次】187
节点文献中: 

本文链接的文献网络图示:

本文的引文网络